Sleepiness, sleep-disordered breathing, and accident risk factors in commercial vehicle drivers

Sleep-disordered breathing and excessive sleepiness may be more common in commercial vehicle drivers than in the general population. The relative importance of factors causing excessive sleepiness and accidents in this population remains unclear. We measured the prevalence of excessive sleepiness and sleep-disordered breathing and assessed accident risk factors in 2,342 respondents to a questionnaire distributed to a random sample of 3,268 Australian commercial vehicle drivers and another 161 drivers among 244 invited to undergo polysomnography. More than half (59.6%) of drivers had sleep-disordered breathing and 15.8% had obstructive sleep apnea syndrome. Twenty-four percent of drivers had excessive sleepiness. Increasing sleepiness was related to an increased accident risk. The sleepiest 5% of drivers on the Epworth Sleepiness Scale and Functional Outcomes of Sleep Questionnaire had an in-creased risk of an accident (odds ratio [OR] 1.91, p = 0.02 and OR 2.23, p < 0.01, respectively) and multiple accidents (OR 2.67, p < 0.01 and OR 2.39, p = 0.01), adjusted for established risk factors. There was an increased accident risk with narcotic analgesic use (OR 2.40, p < 0.01) and antihistamine use (OR 3.44, p = 0.04). Chronic excessive sleepiness and sleep-disordered breathing are common in Australian commercial vehicle drivers. Accident risk was related to increasing chronic sleepiness and antihistamine and narcotic analgesic use.

Injury and risk-taking behavior - a systematic review

There is a substantial body of work in the scientific literature discussing the role of risk-taking behavior in the causation of injury. Despite the quantity of diverse writings on the subject most is in the form of theoretical commentaries. This review was conducted to critically assess the empirical evidence supporting the association between injury and risk-taking behavior. The review found six case-control studies and one retrospective cohort study, which met all the inclusion criteria. Meta-analysis was not possible due to the diversity of the independent and outcome variables in each of the studies reviewed. Overall the review found that risk-taking behavior, however it is measured, is associated with an increased chance of sustaining an injury except in the case of high skilled, risk-taking sports where the effect may be in the other direction. Drawing specific conclusions from the research presented in this review is difficult without an agreed conceptual framework for examining risk-taking behavior and injury. Considerable work needs to be done to provide a convincing evidence base on which to build public health interventions around risk behavior. However, sufficient evidence exists to suggest that effort in this area may be beneficial for the health of the community. (C) 2003 Elsevier Science Ltd. All rights reserved.

Subjective and predicted sleepiness while driving in young adults

Sleepiness is a significant contributor to car crashes and sleepiness related crashes have higher mortality and morbidity than other crashes. Young adult drivers are at particular risk for sleepiness related car crashes. It has been suggested that this is because young adults are typically sleepier than older adults because of chronic sleep loss, and more often drive at times of increased risk of acute sleepiness. This prospective study aimed to determine the relationship between predicted and perceived sleepiness while driving in 47 young-adult drivers over a 4-week period. Sleepiness levels were predicted by a model incorporating known circadian and sleep factors influencing alertness, and compared to subjective ratings of sleepiness during 25 18 driving episodes. Results suggested that young drivers frequently drive while at risk of crashing, at times of predicted sleepiness (>7% of episodes) and at times they felt themselves to be sleepy (>23% of episodes). A significant relationship was found between perceived and predicted estimates of sleepiness. However, the participants nonetheless drove at these times. The results of this study may help preventative programs to specifically target factors leading to increased sleepiness when driving (particularly time of day), and to focus interventions to stop young adults from driving when they feel sleepy. (c) 2005 Elsevier Ltd. All rights reserved.

Community-based programs to promote care seat restraints in children 0-16 years - A systematic review

Study Objective: Community-based models for injury prevention have become an accepted part of the overall injury control strategy. This systematic review of the scientific literature examines the evidence for their effectiveness in reducing injury due to inadequate car seat restraint use in children 0-16 years of age. Methods: A comprehensive search of the literature was performed using the following study selection criteria: community-based intervention study: target population was children aged 0-16 years of age; outcome measure was either injury rates due to motor vehicle crashes or observed changes in child restraint use; and use of community control or historical control in the study design. Quality assessment and data abstraction was guided by a standardized procedure and performed independently by two authors. Data synthesis was in tabular and text form with meta-analysis not being possible due to the discrepancy in methods and measures between the studies. Results: This review found eight studies, that met all the inclusion criteria. In the studies that measured injury outcomes, significant reductions in risk of motor vehicle occupant injury (33-55%) were reported in the study communities. For those studies reporting observed car seat restraint use the community-based programs were successful in increasing toddler restraint use in 1-5 year aged children by up to 11%; child booster seat use in 4-8 year aged children by up to 13%; rear restraint use in children aged 0-15 years by 8%; a 50% increase in restraint use in pre-school aged children in a high-risk community; and a 44% increase in children aged 5-11 years. Conclusion: While this review highlights that there is some evidence to support the effectiveness of community-based programs to promote car restraint use and/or motor vehicle occupant injury, limitations in the evaluation methodologies of the studies requires the results to be interpreted with caution. There is clearly a need for further high quality program evaluation research to develop an evidence base. (C) 2004 Elsevier Ltd. All rights reserved.

ESCOLHAS E DECISÕES: ESTUDO DO PROCESSO PARTICIPATIVO EM ORGANIZAÇÕES DA ECONOMIA SOLIDÁRIA

As últimas décadas, no caso brasileiro, foram marcadas pela predominância da estabilidade econômica e desregulamentação estatal no campo da economia, desconsiderando o impacto na vida das pessoas. Quebras e falências são constatadas como resultado desse processo. Aos trabalhadores surge a oportunidade, com muito esforço, de modelos alternativos nas relações de trabalho. Aparece nesse contexto, o novo discurso da Economia Solidária que preza por práticas autogestionadas. As Empresas Recuperadas são enquadradas dentro desse novo discurso. Entretanto, nas Empresas Recuperadas e nos empreendimentos da Economia Solidária, o espaço fértil proporcionado no campo da subjetividade enfrenta um dilema objetivo. Em sua batalha pela sobrevivência e sustentação, a organização deverá adotar práticas burocráticas e poderá desencantar o espaço da participação. Resulta disso, um dilema entre a objetividade, que a gestão demanda, e a subjetividade que o discurso da Economia Solidária exige. Nessa dissertação, propõe-se que a participação permite um efeito psicológico na medida em que assegura uma inter-relação contínua entre o funcionamento das instituições e as qualidades e atitudes das pessoas que atuam em seu interior. Escolhas e decisões, dessa forma, se colocam como processo que compõe a categoria da participação. Como os trabalhadores das Organizações da Economia Solidária participam do processo de escolhas e decisões em um sistema coletivo e cooperativo de trabalho? Essa é a pergunta central desta pesquisa, que tem por objetivo analisar o processo de escolhas e decisões em organizações da Economia Solidária. Nesse intuito realizou-se um estudo de caso por meio da metodologia da pesquisa-ação de uma empresa recuperada no interior de São Paulo. A pesquisa-ação é um tipo de pesquisa social, com base empírica, que é concebida e realizada em estreita associação com uma ação ou resolução de um problema. Esse problema, no contexto do estudo de caso, foi a concepção de um processo de formação de funcionários para futuros cooperados. A trajetória da discussão foi realizada com acompanhamento de um Grupo Tarefa composto por membros (celetistas e cooperados) da organização. A análise dos resultados foi construída a partir da fundamentação teórica convergindo em três categorias, que compõe o processo de participação, dentro de uma organização da Economia Solidária: Eu comigo (EUCMG), Eu com o(s) outro(s) (EUCOU) e Eu na Organização (EUORG). Os resultados mostram que a Empresa estudada não pode ser considerada como autogestionada e está fundamentada em práticas elitizadas. Há poucas práticas coletivas e se divide em classes internas (chão-defábrica e staff). Contudo, reconhece-se um grande esforço para chegar a uma nova prática de gestão coletiva. A participação se dá dentro de aspectos formais (assembléia) com predominância de assuntos burocráticos que não passaram por apropriação coletiva em sua construção. A educatividade ilumina o caminho processual, rompendo com visões finalísticas e alcançando uma sustentabilidade para a organização.(AU)

A COMUNICAÇÃO MERCADOLÓGICA E A APROPRIAÇÃO DE UM ESTILO DE VIDA : ESTUDO DE CASO DA MARCA HARLEY DAVIDSON NO BRASIL

Este estudo busca entender como um processo de comunicação mercadológica pode vincular na mente de seus consumidores elementos simbólicos sobre estilo de vida e pertencimento a uma comunidade da marca alimentando o imaginário de seus consumidores por meio de uma filosofia de vida e forma de viver muito particular. A argumentação da marca é regida em relação ao pertencimento de seus consumidores a uma tribo, e o seu discurso aparenta ser semelhante em todos os cantos do mundo. O caso escolhido para estudo foi a Harley Davidson, pois é uma marca que integra todos esses elementos. Os procedimentos metodológicos escolhidos para esta dissertação foram pesquisa bibliográfica e documental, que contribuíram para a formação do conhecimento teórico e informacional. Além disso, uma pesquisa de campo subdividida em: observação participante com os consumidores da cidade de Sorocaba; participantes do HOG, que é o moto clube exclusivo da marca, coleta de entrevistas semiestruturadas com os membros do HOG de Sorocaba, concessionário Sorocaba e funcionários da empresa no Brasil. Por meio desse trabalho percebeu-se que a comunicação mercadológica e suas ações vêm ao encontro das aspirações, sensações e desejos dos consumidores e como eles se identificam com a marca e com o estilo de vida proporcionado por ela. Os consumidores Harley Davidson são grandes entusiastas da marca e da sua filosofia de vida.

A comparison between static and kinetic visual attention as a means of detecting age-related deterioration of the visual system and driving performance

A critical review of previous research revealed that visual attention tests, such as the Useful Field of View (UFOV) test, provided the best means of detecting age-related changes to the visual system that could potentially increase crash risk. However, the question was raised as to whether the UFOV, which was regarded as a static visual attention test, could be improved by inclusion of kinetic targets that more closely represent the driving task. A computer program was written to provide more information about the derivation of UFOV test scores. Although this investigation succeeded in providing new information, some of the commercially protected UFOV test procedures still remain unknown. Two kinetic visual attention tests (DRTS1 and 2), developed at Aston University to investigate inclusion of kinetic targets in visual attention tests, were introduced. The UFOV was found to be more repeatable than either of the kinetic visual attention tests and learning effects or age did not influence these findings. Determinants of static and kinetic visual attention were explored. Increasing target eccentricity led to reduced performance on the UFOV and DRTS1 tests. The DRTS2 was not affected by eccentricity but this may have been due to the style of presentation of its targets. This might also have explained why only the DRTS2 showed laterality effects (i.e. better performance to targets presented on the left hand side of the road). Radial location, explored using the UFOV test, showed that subjects responded best to targets positioned to the horizontal meridian. Distraction had opposite effects on static and kinetic visual attention. While UFOV test performance declined with distraction, DRTS1 performance increased. Previous research had shown that this striking difference was to be expected. Whereas the detection of static targets is attenuated in the presence of distracting stimuli, distracting stimuli that move in a structured flow field enhances the detection of moving targets. Subjects reacted more slowly to kinetic compared to static targets, longitudinal motion compared to angular motion and to increased self-motion. However, the effects of longitudinal motion, angular motion, self-motion and even target eccentricity were caused by target edge speed variations arising because of optic flow field effects. The UFOV test was more able to detect age-related changes to the visual system than were either of the kinetic visual attention tests. The driving samples investigated were too limited to draw firm conclusions. Nevertheless, the results presented showed that neither the DRTS2 nor the UFOV tests were powerful tools for the identification of drivers prone to crashes or poor driving performance.

Development of safety performance functions for empirical Bayes estimation of crash reduction factors

Crash reduction factors (CRFs) are used to estimate the potential number of traffic crashes expected to be prevented from investment in safety improvement projects. The method used to develop CRFs in Florida has been based on the commonly used before-and-after approach. This approach suffers from a widely recognized problem known as regression-to-the-mean (RTM). The Empirical Bayes (EB) method has been introduced as a means to addressing the RTM problem. This method requires the information from both the treatment and reference sites in order to predict the expected number of crashes had the safety improvement projects at the treatment sites not been implemented. The information from the reference sites is estimated from a safety performance function (SPF), which is a mathematical relationship that links crashes to traffic exposure. The objective of this dissertation was to develop the SPFs for different functional classes of the Florida State Highway System. Crash data from years 2001 through 2003 along with traffic and geometric data were used in the SPF model development. SPFs for both rural and urban roadway categories were developed. The modeling data used were based on one-mile segments that contain homogeneous traffic and geometric conditions within each segment. Segments involving intersections were excluded. The scatter plots of data show that the relationships between crashes and traffic exposure are nonlinear, that crashes increase with traffic exposure in an increasing rate. Four regression models, namely, Poisson (PRM), Negative Binomial (NBRM), zero-inflated Poisson (ZIP), and zero-inflated Negative Binomial (ZINB), were fitted to the one-mile segment records for individual roadway categories. The best model was selected for each category based on a combination of the Likelihood Ratio test, the Vuong statistical test, and the Akaike's Information Criterion (AIC). The NBRM model was found to be appropriate for only one category and the ZINB model was found to be more appropriate for six other categories. The overall results show that the Negative Binomial distribution model generally provides a better fit for the data than the Poisson distribution model. In addition, the ZINB model was found to give the best fit when the count data exhibit excess zeros and over-dispersion for most of the roadway categories. While model validation shows that most data points fall within the 95% prediction intervals of the models developed, the Pearson goodness-of-fit measure does not show statistical significance. This is expected as traffic volume is only one of the many factors contributing to the overall crash experience, and that the SPFs are to be applied in conjunction with Accident Modification Factors (AMFs) to further account for the safety impacts of major geometric features before arriving at the final crash prediction. However, with improved traffic and crash data quality, the crash prediction power of SPF models may be further improved.

Essays on emissions trading markets

This dissertation is a collection of three economics essays on different aspects of carbon emission trading markets. The first essay analyzes the dynamic optimal emission control strategies of two nations. With a potential to become the largest buyer under the Kyoto Protocol, the US is assumed to be a monopsony, whereas with a large number of tradable permits on hand Russia is assumed to be a monopoly. Optimal costs of emission control programs are estimated for both the countries under four different market scenarios: non-cooperative no trade, US monopsony, Russia monopoly, and cooperative trading. The US monopsony scenario is found to be the most Pareto cost efficient. The Pareto efficient outcome, however, would require the US to make side payments to Russia, which will even out the differences in the cost savings from cooperative behavior. The second essay analyzes the price dynamics of the Chicago Climate Exchange (CCX), a voluntary emissions trading market. By examining the volatility in market returns using AR-GARCH and Markov switching models, the study associates the market price fluctuations with two different political regimes of the US government. Further, the study also identifies a high volatility in the returns few months before the market collapse. Three possible regulatory and market-based forces are identified as probable causes of market volatility and its ultimate collapse. Organizers of other voluntary markets in the US and worldwide may closely watch for these regime switching forces in order to overcome emission market crashes. The third essay compares excess skewness and kurtosis in carbon prices between CCX and EU ETS (European Union Emission Trading Scheme) Phase I and II markets, by examining the tail behavior when market expectations exceed the threshold level. Dynamic extreme value theory is used to find out the mean price exceedence of the threshold levels and estimate the risk loss. The calculated risk measures suggest that CCX and EU ETS Phase I are extremely immature markets for a risk investor, whereas EU ETS Phase II is a more stable market that could develop as a mature carbon market in future years.

Development of safety performance functions for SafetyAnalyst applications in Florida

In 2010, the American Association of State Highway and Transportation Officials (AASHTO) released a safety analysis software system known as SafetyAnalyst. SafetyAnalyst implements the empirical Bayes (EB) method, which requires the use of Safety Performance Functions (SPFs). The system is equipped with a set of national default SPFs, and the software calibrates the default SPFs to represent the agency's safety performance. However, it is recommended that agencies generate agency-specific SPFs whenever possible. Many investigators support the view that the agency-specific SPFs represent the agency data better than the national default SPFs calibrated to agency data. Furthermore, it is believed that the crash trends in Florida are different from the states whose data were used to develop the national default SPFs. In this dissertation, Florida-specific SPFs were developed using the 2008 Roadway Characteristics Inventory (RCI) data and crash and traffic data from 2007-2010 for both total and fatal and injury (FI) crashes. The data were randomly divided into two sets, one for calibration (70% of the data) and another for validation (30% of the data). The negative binomial (NB) model was used to develop the Florida-specific SPFs for each of the subtypes of roadway segments, intersections and ramps, using the calibration data. Statistical goodness-of-fit tests were performed on the calibrated models, which were then validated using the validation data set. The results were compared in order to assess the transferability of the Florida-specific SPF models. The default SafetyAnalyst SPFs were calibrated to Florida data by adjusting the national default SPFs with local calibration factors. The performance of the Florida-specific SPFs and SafetyAnalyst default SPFs calibrated to Florida data were then compared using a number of methods, including visual plots and statistical goodness-of-fit tests. The plots of SPFs against the observed crash data were used to compare the prediction performance of the two models. Three goodness-of-fit tests, represented by the mean absolute deviance (MAD), the mean square prediction error (MSPE), and Freeman-Tukey R2 (R2FT), were also used for comparison in order to identify the better-fitting model. The results showed that Florida-specific SPFs yielded better prediction performance than the national default SPFs calibrated to Florida data. The performance of Florida-specific SPFs was further compared with that of the full SPFs, which include both traffic and geometric variables, in two major applications of SPFs, i.e., crash prediction and identification of high crash locations. The results showed that both SPF models yielded very similar performance in both applications. These empirical results support the use of the flow-only SPF models adopted in SafetyAnalyst, which require much less effort to develop compared to full SPFs.

Improved Criteria for Estimating Calibration Factors for Highway Safety Manual (HSM) Applications

The Highway Safety Manual (HSM) estimates roadway safety performance based on predictive models that were calibrated using national data. Calibration factors are then used to adjust these predictive models to local conditions for local applications. The HSM recommends that local calibration factors be estimated using 30 to 50 randomly selected sites that experienced at least a total of 100 crashes per year. It also recommends that the factors be updated every two to three years, preferably on an annual basis. However, these recommendations are primarily based on expert opinions rather than data-driven research findings. Furthermore, most agencies do not have data for many of the input variables recommended in the HSM. This dissertation is aimed at determining the best way to meet three major data needs affecting the estimation of calibration factors: (1) the required minimum sample sizes for different roadway facilities, (2) the required frequency for calibration factor updates, and (3) the influential variables affecting calibration factors. In this dissertation, statewide segment and intersection data were first collected for most of the HSM recommended calibration variables using a Google Maps application. In addition, eight years (2005-2012) of traffic and crash data were retrieved from existing databases from the Florida Department of Transportation. With these data, the effect of sample size criterion on calibration factor estimates was first studied using a sensitivity analysis. The results showed that the minimum sample sizes not only vary across different roadway facilities, but they are also significantly higher than those recommended in the HSM. In addition, results from paired sample t-tests showed that calibration factors in Florida need to be updated annually. To identify influential variables affecting the calibration factors for roadway segments, the variables were prioritized by combining the results from three different methods: negative binomial regression, random forests, and boosted regression trees. Only a few variables were found to explain most of the variation in the crash data. Traffic volume was consistently found to be the most influential. In addition, roadside object density, major and minor commercial driveway densities, and minor residential driveway density were also identified as influential variables.

A condição de saúde do trabalhador moto-taxista do município de Caicó-RN no contexto da precarização

The restructuring process has caused several changes in the workplace since the 1970s in Brazil these changes were more significant during the 1990s, with the implementation of neoliberal policies and the submission of the country's determinations of the IMF and World Bank . In this context, expression wins the increase in structural unemployment and the growth of informality as a mitigating practice the lack of formal employment. At present the activity of mototaxi driver has grown in the municipalities of small, medium and large size of the country. In Caicó / RN, as well as other municipalities, this activity has been presented as an alternative livelihood in the face of rising unemployment. Considering that this is a precarious and risky activity, we wondered about which health conditions of workers in the municipality of mototaxi driver Caicó in the context of job insecurity? What is the perception that this employee has about the health-disease process and its relationship to your work? How to setup the access of motorcycle taxi drivers the right to health and social security? The research sought to examine the health conditions of the workers of the municipality of mototaxi driver Caicó / RN in the context of job insecurity. From the methodological point of view the study worked with documentary research, semi-structured interview and questionnaire with open and closed questions with a sample population of motorcycle taxi drivers of the city, in the period August-September 2013 The results revealed that these workers are if constantly exposed to various risks inherent to the profession as well as the space in which it conducts its business activities, in this case the traffic being traffic accidents and urban violence one of the greatest risks identified by motorcycle taxi drivers in the present study

Estudo sobre a detecção de invariância de escala discreta em sistemas com criticalidade auto-organizada

Recent studies have shown evidence of log-periodic behavior in non-hierarchical systems. An interesting fact is the emergence of such properties on rupture and breakdown of complex materials and financial failures. These may be examples of systems with self-organized criticality (SOC). In this work we study the detection of discrete scale invariance or log-periodicity. Theoretically showing the effectiveness of methods based on the Fourier Transform of the log-periodicity detection not only with prior knowledge of the critical point before this point as well. Specifically, we studied the Brazilian financial market with the objective of detecting discrete scale invariance in Bovespa (Bolsa de Valores de S˜ao Paulo) index. Some historical series were selected periods in 1999, 2001 and 2008. We report evidence for the detection of possible log-periodicity before breakage, shown its applicability to the study of systems with discrete scale invariance likely in the case of financial crashes, it shows an additional evidence of the possibility of forecasting breakage

Quando as regras e normas não estão no papel: uma contribuição da antropologia dos sistemas informais para a elucidação do trabalho dos moto-taxistas em Uberlândia – MG

The motorcycle service, a public service consisting in transporting people and small loads by motorcycle, appeared in Brazil in the great Northeast, in the mid-1990s, but soon spread to all regions of the country. No entanto, a sua ampliação e consolidação pelo território nacional aconteceu de maneira desordenada e desacompanhada de regulamentação. Despite being present in Uberlândia - MG approximately 17 (seventeen) years, the motorcycle taxi service has not been regulated in the city yet. According to the most common theoretical perspective in Brazil, which considers all informal activities that are exempt from regulation by the government, the motorcycle taxi is considered an informal activity in Uberlândia. In this context, this research uses another approach on the informality, based on Anthropology, which takes as its object of analysis the specific meanings attributed by the workers themselves to their informal activities, to demonstrate how the motorcycle taxi service in Uberlândia - MG, although it was done on the sidelines of state regulation, it is able to create a generis operating logic, developing structures, own rules and regulations. Through ethnographic research method and research techniques such as observation and interview, it could demonstrate that Uberlandia citizens moto-taxi drivers are subject to many different stories, in spite of its social life to some small area of their institutional fragile ties , that shape institutional informality, but not the rule of formal relations, socially constructed through private and own cultural codes. The work also seeks to demonstrated that the point of view of institutional relations, much as the motorcycle taxi service is an activity held on the margins of government regulation, it creates its own logic of operation, a kind of organizational subculture, which guides the actions of bike -taxis in the activities and around the city.

A COMUNICAÇÃO MERCADOLÓGICA E A APROPRIAÇÃO DE UM ESTILO DE VIDA – ESTUDO DE CASO DA MARCA HARLEY DAVIDSON NO BRASIL

Este estudo busca entender como um processo de comunicação mercadológica pode vincular na mente de seus consumidores elementos simbólicos sobre estilo de vida e pertencimento a uma comunidade da marca alimentando o imaginário de seus consumidores por meio de uma filosofia de vida e forma de viver muito particular. A argumentação da marca é regida em relação ao pertencimento de seus consumidores a uma "tribo", e o seu discurso aparenta ser semelhante em todos os cantos do mundo. O caso escolhido para estudo foi a Harley Davidson, pois é uma marca que integra todos esses elementos. Os procedimentos metodológicos escolhidos para esta dissertação foram pesquisa bibliográfica e documental, que contribuíram para a formação do conhecimento teórico e informacional. Além disso, uma pesquisa de campo subdividida em: observação participante com os consumidores da cidade de Sorocaba; participantes do HOG, que é o moto clube exclusivo da marca, coleta de entrevistas semiestruturadas com os membros do HOG de Sorocaba, concessionário Sorocaba e funcionários da empresa no Brasil. Por meio desse trabalho percebeu-se que a comunicação mercadológica e suas ações vêm ao encontro das aspirações, sensações e desejos dos consumidores e como eles se identificam com a marca e com o estilo de vida proporcionado por ela. Os consumidores Harley Davidson são grandes entusiastas da marca e da sua filosofia de vida.